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tg0.co.uk

tg0.co.uk

Moderate AI visibility with 25 of 48 criteria passing. Biggest gap: llms.txt file.

54/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Canonical URL Strategy, Content Cannibalization, and Answer-First Placement. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#3255of 13363
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How to Improve

Current
54/100
Projected
80/100
42Total Fixes
11Quick Wins
~75hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd structured tables and listsAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsImprove citation-ready writing qualityReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Reduce render-blocking resources
medium|low
Improve server response efficiency
low|low
Reduce document weight
low|low

Top Opportunities10

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

Fix It With AI42

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Site Pages

www.tg0.co.uk/blogF37
TG0 | Readings for innovators, designers and hardware engineers
www.tg0.co.uk/demonstrators/tg0-demonstration-libraryF34
Demonstration library
www.tg0.co.uk/demonstration-library-quick-start-guideF37
TG0 | Demonstration library quick start guide
www.tg0.co.uk/use-cases/push-pull-tabF36
TG0 | Use cases | Push / Pull tab
www.tg0.co.uk/research/rehabilitation-for-post-stroke-pat...F37
Rehabilitation for post-stroke patients in collaboration with the University of South Wales in 2022

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